Quantitative Assessment of Wound Healing Using Image Processing

Abstract

Wound healing is a complex and dynamic process which varies with the changing newlinehealth status. Measurement of wound healing status in very important for monitoring and newlineevaluation of progress in an individual patient. This helps the health care professionals to newlineunderstand and to develop a skill which is required to take care about the wound, body newlineand to overcome with the task of complex tissue repair. Wound image analysis helps in newlinehealthcare to monitor the extent of wound healing and to decide the course of treatment in newlinehuman beings which has been gaining wide acceptance as an assessment tool. newlineThis research work is concentrated for tracking the wound healing process of newlinediabetic patients. Wound images are taken from the open source as well as from the newlinehospitals using the digital camera. Wound imaging analysis gives us an accurate wound newlinearea. Wound Image Analysis System partitions the wound image into meaningful newlinesegments using image segmentation technique in order to analyze the wound status. The newlineaim is to accurately segment the wound region and to perform color analysis to find the newlinehealing status of wound. newlineThe wound assessment is carried out using different segmentation techniques such newlineas multi-dimensional clustering, Improved watershed algorithm with flooding and newlinepruning, Particle swarm optimization (PSO), Darwinian-PSO algorithms and Decision newlinetree algorithm. The results of these techniques has proved very accurate in determining newlinethe wound area and also classifying the tissues types such as granulation, slug and newlinenecrotic based on their color. By measuring the amount of these type of tissues present in newlinethe wound will help the clinicians to assess the status of the wound and this in-turn will newlinehelp them to give the course of treatment to the patients. newline